CAJ | 학술논문

为解决布谷鸟算法在迭代后期收敛速度下降的问题，通过引入一种新的惯性权重，提出一类改进布谷鸟算法，改善原算法的收敛速度。针对非线性规划问题，根据罚函数思想，提出一种基于改进的布谷鸟算法的罚函数法。将该算法应用在若干非线性规划实例中，实验结果表明，使用该算法得到的结果优于已有若干算法，具有较好的可行性和有效性。
위해결포곡조산법재질대후기수렴속도하강적문제，통과인입일충신적관성권중，제출일류개진포곡조산법，개선원산법적수렴속도。침대비선성규화문제，근거벌함수사상，제출일충기우개진적포곡조산법적벌함수법。장해산법응용재약간비선성규화실례중，실험결과표명，사용해산법득도적결과우우이유약간산법，구유교호적가행성화유효성。
To solve the problem that the convergence rate of cuckoo search algorithm decreases in final iterations ,a modified cuckoo search algorithm was proposed by introducing a new inertia weight .Test results show that the modified algorithm has a better performance on convergence rate .A new algorithm (PMCS) combining penalty method and the modified cuckoo search al‐gorithm was also proposed and applied to some nonlinear programming problems .The experimental results show that PMCS has better or competitive performances comparing with other existing optimization methods ,which is more feasible and effective .